Graeme Crawford
Data strategy for PE-backed companies
We don't sell dashboards. We help you sell your company for more.
Crawford McMillan helps mid-market PE-backed companies fix the data problems that erode valuation, stall AI initiatives, and create transaction risk. We work with operating partners and portfolio company leadership teams to get data diligence-ready, not in multi-year programs, but in quarter-scale sprints.
20 years at Fortune 100 scale.
Now focused on mid-market PE.
Operational troubleshooter. Designated fixer for hostile recoveries and severely damaged implementations. At 24, rebuilt an entire day of lost data for a major UK insurer.
Migrated enterprise marketing data from Teradata to AWS, enabling closure of legacy data centers and unlocking real-time AI/ML across $1B+ annual paid media spend
Built a web analytics platform from scratch with sub-millisecond latency, powering personalization, call routing, and fraud decisioning
Stood up a data organization from zero for External Affairs, delivering governance and insights across ~$70M/year in external spend
Now I bring that same infrastructure rigor to companies in the $25M-$200M revenue range where PE sponsors assume the data capability exists, but it doesn't. The gap between what Fortune 100 companies have and what mid-market portfolio companies actually run on is where value gets left on the table.
Data Readiness Assessment
2-3 week sprint identifying the single biggest data constraint blocking valuation or AI readiness. Clear picture of what needs to fix and in what order.
Value Creation Sprint
Hands-on data infrastructure work mapped to VCP line items throughout the hold. Each sprint has a defined scope, timeline, and measurable outcome.
Buy-side Data Diligence
Evaluate a target's data infrastructure as part of commercial or technical diligence. Know what you're buying before the LOI.
PE Data Guy
Conversations with deal teams, operating partners, and portfolio company leaders about the data problems that kill deals, slow exits, and destroy value.
I work the data infrastructure layer. Growth operators, fractional executives, and commercial operating partners work the revenue and margin layer. We are not competing. We are solving different parts of the same value creation plan.
When portfolio companies can't produce clean channel attribution, reliable unit economics, or reconciled financials, that is my problem to fix. When the data is clean and the growth strategy needs an operator, that is yours.
Referrals go both ways. If you see data mess in a portfolio company, I want that call. If I see a company that needs commercial or operational expertise, you get that call.